Overview

Dataset statistics

Number of variables156
Number of observations5012
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 MiB
Average record size in memory1.2 KiB

Variable types

BOOL144
NUM12

Warnings

df_index has unique values Unique
number has 4524 (90.3%) zeros Zeros

Reproduction

Analysis started2020-10-29 00:56:27.667946
Analysis finished2020-10-29 01:01:08.056191
Duration4 minutes and 40.39 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct5012
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3584.904828
Minimum0
Maximum7159
Zeros1
Zeros (%)< 0.1%
Memory size39.2 KiB
2020-10-28T22:01:08.471467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile371.1
Q11828.75
median3592
Q35351.25
95-th percentile6778.45
Maximum7159
Range7159
Interquartile range (IQR)3522.5

Descriptive statistics

Standard deviation2046.568912
Coefficient of variation (CV)0.5708851447
Kurtosis-1.18181302
Mean3584.904828
Median Absolute Deviation (MAD)1761.5
Skewness-0.01039062066
Sum17967543
Variance4188444.31
MonotocityNot monotonic
2020-10-28T22:01:08.991172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20471< 0.1%
 
27001< 0.1%
 
67861< 0.1%
 
6451< 0.1%
 
47431< 0.1%
 
26961< 0.1%
 
6491< 0.1%
 
67941< 0.1%
 
47471< 0.1%
 
6531< 0.1%
 
Other values (5002)500299.8%
 
ValueCountFrequency (%) 
01< 0.1%
 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
71591< 0.1%
 
71581< 0.1%
 
71571< 0.1%
 
71561< 0.1%
 
71551< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4856 
0
 
156
ValueCountFrequency (%) 
1485696.9%
 
01563.1%
 
2020-10-28T22:01:09.311985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4652 
1
 
360
ValueCountFrequency (%) 
0465292.8%
 
13607.2%
 
2020-10-28T22:01:09.508873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4929 
1
 
83
ValueCountFrequency (%) 
0492998.3%
 
1831.7%
 
2020-10-28T22:01:09.716752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:10.139510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3394 
1
1618 
ValueCountFrequency (%) 
0339467.7%
 
1161832.3%
 
2020-10-28T22:01:10.486398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4945 
0
 
67
ValueCountFrequency (%) 
1494598.7%
 
0671.3%
 
2020-10-28T22:01:10.770004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4551 
0
461 
ValueCountFrequency (%) 
1455190.8%
 
04619.2%
 
2020-10-28T22:01:11.750504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

cabg_0
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
2591 
0
2421 
ValueCountFrequency (%) 
1259151.7%
 
0242148.3%
 
2020-10-28T22:01:11.907415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4999 
1
 
13
ValueCountFrequency (%) 
0499999.7%
 
1130.3%
 
2020-10-28T22:01:12.071321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4503 
1
509 
ValueCountFrequency (%) 
0450389.8%
 
150910.2%
 
2020-10-28T22:01:12.219239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3074 
0
1938 
ValueCountFrequency (%) 
1307461.3%
 
0193838.7%
 
2020-10-28T22:01:12.387141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

ulcer_0
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4795 
0
 
217
ValueCountFrequency (%) 
1479595.7%
 
02174.3%
 
2020-10-28T22:01:12.555044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4501 
1
511 
ValueCountFrequency (%) 
0450189.8%
 
151110.2%
 
2020-10-28T22:01:12.745934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4536 
1
476 
ValueCountFrequency (%) 
0453690.5%
 
14769.5%
 
2020-10-28T22:01:12.919835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4819 
1
 
193
ValueCountFrequency (%) 
0481996.1%
 
11933.9%
 
2020-10-28T22:01:13.086741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

aortic_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3110 
0
1902 
ValueCountFrequency (%) 
1311062.1%
 
0190237.9%
 
2020-10-28T22:01:13.296619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4559 
1
 
453
ValueCountFrequency (%) 
0455991.0%
 
14539.0%
 
2020-10-28T22:01:13.437537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3751 
0
1261 
ValueCountFrequency (%) 
1375174.8%
 
0126125.2%
 
2020-10-28T22:01:13.583453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4952 
1
 
60
ValueCountFrequency (%) 
0495298.8%
 
1601.2%
 
2020-10-28T22:01:13.761355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

number
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1266959298
Minimum0
Maximum5
Zeros4524
Zeros (%)90.3%
Memory size39.2 KiB
2020-10-28T22:01:14.005212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4290741041
Coefficient of variation (CV)3.38664474
Kurtosis20.62252195
Mean0.1266959298
Median Absolute Deviation (MAD)0
Skewness4.135016146
Sum635
Variance0.1841045868
MonotocityNot monotonic
2020-10-28T22:01:14.385994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
0452490.3%
 
13737.4%
 
2871.7%
 
3250.5%
 
42< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
0452490.3%
 
13737.4%
 
2871.7%
 
3250.5%
 
42< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
42< 0.1%
 
3250.5%
 
2871.7%
 
13737.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4115 
1
897 
ValueCountFrequency (%) 
0411582.1%
 
189717.9%
 
2020-10-28T22:01:14.631856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
2523 
0
2489 
ValueCountFrequency (%) 
1252350.3%
 
0248949.7%
 
2020-10-28T22:01:14.768774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:14.907697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4825 
1
 
187
ValueCountFrequency (%) 
0482596.3%
 
11873.7%
 
2020-10-28T22:01:15.041619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lvef
Real number (ℝ≥0)

Distinct72
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.82647085
Minimum10
Maximum89
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:15.356437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile35
Q150
median60
Q366
95-th percentile75
Maximum89
Range79
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.93577847
Coefficient of variation (CV)0.2064068289
Kurtosis0.5227325273
Mean57.82647085
Median Absolute Deviation (MAD)7
Skewness-0.6856468813
Sum289826.2719
Variance142.4628078
MonotocityNot monotonic
2020-10-28T22:01:15.927113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60100920.1%
 
554939.8%
 
704529.0%
 
504298.6%
 
653066.1%
 
452484.9%
 
401783.6%
 
351122.2%
 
301022.0%
 
67871.7%
 
Other values (62)159631.8%
 
ValueCountFrequency (%) 
101< 0.1%
 
151< 0.1%
 
171< 0.1%
 
20310.6%
 
2230.1%
 
ValueCountFrequency (%) 
891< 0.1%
 
882< 0.1%
 
871< 0.1%
 
8630.1%
 
8550.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4480 
1
532 
ValueCountFrequency (%) 
0448089.4%
 
153210.6%
 
2020-10-28T22:01:16.288903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4969 
1
 
43
ValueCountFrequency (%) 
0496999.1%
 
1430.9%
 
2020-10-28T22:01:16.642700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4794 
1
 
218
ValueCountFrequency (%) 
0479495.7%
 
12184.3%
 
2020-10-28T22:01:16.946527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4460 
1
552 
ValueCountFrequency (%) 
0446089.0%
 
155211.0%
 
2020-10-28T22:01:17.181394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4863 
0
 
149
ValueCountFrequency (%) 
1486397.0%
 
01493.0%
 
2020-10-28T22:01:17.323308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5010 
1
 
2
ValueCountFrequency (%) 
05010> 99.9%
 
12< 0.1%
 
2020-10-28T22:01:17.474221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

clearance
Real number (ℝ≥0)

Distinct4660
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.59136285
Minimum5.85755511
Maximum262.728
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:17.848008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5.85755511
5-th percentile30.26634496
Q154.83518079
median74.46888512
Q396.81726662
95-th percentile135.3333434
Maximum262.728
Range256.8704449
Interquartile range (IQR)41.98208583

Descriptive statistics

Standard deviation32.45095479
Coefficient of variation (CV)0.4182289574
Kurtosis1.068477931
Mean77.59136285
Median Absolute Deviation (MAD)20.81742631
Skewness0.6898220215
Sum388887.9106
Variance1053.064467
MonotocityNot monotonic
2020-10-28T22:01:18.496639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
77.18585061230.5%
 
108.2480.2%
 
98.480.2%
 
88.5670.1%
 
110.760.1%
 
92.2560.1%
 
94.7160.1%
 
64.57550.1%
 
86.140.1%
 
62.6181818240.1%
 
Other values (4650)493598.5%
 
ValueCountFrequency (%) 
5.857555111< 0.1%
 
5.8585308061< 0.1%
 
5.9394594591< 0.1%
 
6.0603141361< 0.1%
 
6.8167272732< 0.1%
 
ValueCountFrequency (%) 
262.7281< 0.1%
 
248.461< 0.1%
 
247.82222221< 0.1%
 
239.08857141< 0.1%
 
228.81< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3128 
1
1884 
ValueCountFrequency (%) 
0312862.4%
 
1188437.6%
 
2020-10-28T22:01:18.858429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4226 
1
786 
ValueCountFrequency (%) 
0422684.3%
 
178615.7%
 
2020-10-28T22:01:19.007343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
2807 
0
2205 
ValueCountFrequency (%) 
1280756.0%
 
0220544.0%
 
2020-10-28T22:01:19.141269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4295 
1
717 
ValueCountFrequency (%) 
0429585.7%
 
171714.3%
 
2020-10-28T22:01:19.308171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4323 
0
689 
ValueCountFrequency (%) 
1432386.3%
 
068913.7%
 
2020-10-28T22:01:19.506067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4990 
1
 
22
ValueCountFrequency (%) 
0499099.6%
 
1220.4%
 
2020-10-28T22:01:19.931815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4761 
1
 
251
ValueCountFrequency (%) 
0476195.0%
 
12515.0%
 
2020-10-28T22:01:20.414535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4238 
0
774 
ValueCountFrequency (%) 
1423884.6%
 
077415.4%
 
2020-10-28T22:01:20.663392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4990 
1
 
22
ValueCountFrequency (%) 
0499099.6%
 
1220.4%
 
2020-10-28T22:01:20.804312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4711 
0
 
301
ValueCountFrequency (%) 
1471194.0%
 
03016.0%
 
2020-10-28T22:01:20.977212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3518 
1
1494 
ValueCountFrequency (%) 
0351870.2%
 
1149429.8%
 
2020-10-28T22:01:21.147117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3766 
0
1246 
ValueCountFrequency (%) 
1376675.1%
 
0124624.9%
 
2020-10-28T22:01:21.335008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4617 
1
 
395
ValueCountFrequency (%) 
0461792.1%
 
13957.9%
 
2020-10-28T22:01:21.512905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

bmi
Real number (ℝ≥0)

Distinct1716
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.55318672
Minimum11.97954711
Maximum50.21913806
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:22.338317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.97954711
5-th percentile19.72318339
Q123.51020408
median26.06167931
Q329.06879615
95-th percentile34.97883031
Maximum50.21913806
Range38.23959094
Interquartile range (IQR)5.558592069

Descriptive statistics

Standard deviation4.650184522
Coefficient of variation (CV)0.1751271729
Kurtosis1.328637304
Mean26.55318672
Median Absolute Deviation (MAD)2.740497954
Skewness0.7416392799
Sum133084.5718
Variance21.62421609
MonotocityNot monotonic
2020-10-28T22:01:23.105404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24.22145329380.8%
 
25.95155709330.7%
 
27.6816609320.6%
 
24.48979592270.5%
 
24.69135802260.5%
 
25.71166208250.5%
 
23.4375220.4%
 
27.54820937220.4%
 
31.25210.4%
 
25.390625200.4%
 
Other values (1706)474694.7%
 
ValueCountFrequency (%) 
11.979547111< 0.1%
 
14.429606161< 0.1%
 
14.605054971< 0.1%
 
15.059700961< 0.1%
 
15.369708311< 0.1%
 
ValueCountFrequency (%) 
50.219138061< 0.1%
 
49.60317461< 0.1%
 
48.487836951< 0.1%
 
48.456790121< 0.1%
 
47.839506171< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3937 
1
1075 
ValueCountFrequency (%) 
0393778.6%
 
1107521.4%
 
2020-10-28T22:01:23.835985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4753 
1
 
259
ValueCountFrequency (%) 
0475394.8%
 
12595.2%
 
2020-10-28T22:01:24.581468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4534 
1
478 
ValueCountFrequency (%) 
0453490.5%
 
14789.5%
 
2020-10-28T22:01:24.848318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5009 
1
 
3
ValueCountFrequency (%) 
0500999.9%
 
130.1%
 
2020-10-28T22:01:25.117165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4634 
1
 
378
ValueCountFrequency (%) 
0463492.5%
 
13787.5%
 
2020-10-28T22:01:25.541919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4963 
0
 
49
ValueCountFrequency (%) 
1496399.0%
 
0491.0%
 
2020-10-28T22:01:25.902221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
2584 
0
2428 
ValueCountFrequency (%) 
1258451.6%
 
0242848.4%
 
2020-10-28T22:01:26.189056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3831 
1
1181 
ValueCountFrequency (%) 
0383176.4%
 
1118123.6%
 
2020-10-28T22:01:26.518871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_a_yes
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5006 
1
 
6
ValueCountFrequency (%) 
0500699.9%
 
160.1%
 
2020-10-28T22:01:26.735744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4981 
1
 
31
ValueCountFrequency (%) 
0498199.4%
 
1310.6%
 
2020-10-28T22:01:26.985603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4719 
1
 
293
ValueCountFrequency (%) 
0471994.2%
 
12935.8%
 
2020-10-28T22:01:27.173492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4951 
1
 
61
ValueCountFrequency (%) 
0495198.8%
 
1611.2%
 
2020-10-28T22:01:27.380373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

surg_2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4760 
1
 
252
ValueCountFrequency (%) 
0476095.0%
 
12525.0%
 
2020-10-28T22:01:27.614239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:27.782144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4622 
0
 
390
ValueCountFrequency (%) 
1462292.2%
 
03907.8%
 
2020-10-28T22:01:27.952046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4862 
1
 
150
ValueCountFrequency (%) 
0486297.0%
 
11503.0%
 
2020-10-28T22:01:28.113953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4928 
1
 
84
ValueCountFrequency (%) 
0492898.3%
 
1841.7%
 
2020-10-28T22:01:28.319835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

creatinine
Real number (ℝ≥0)

Distinct285
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.9170262
Minimum35
Maximum999
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:29.073404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile58
Q175
median88
Q3106
95-th percentile168
Maximum999
Range964
Interquartile range (IQR)31

Descriptive statistics

Standard deviation68.43639964
Coefficient of variation (CV)0.6781452267
Kurtosis71.57601608
Mean100.9170262
Median Absolute Deviation (MAD)15
Skewness7.266763062
Sum505796.1355
Variance4683.540795
MonotocityNot monotonic
2020-10-28T22:01:29.935909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
851172.3%
 
881122.2%
 
801092.2%
 
761032.1%
 
821032.1%
 
781012.0%
 
77982.0%
 
75931.9%
 
86921.8%
 
83911.8%
 
Other values (275)399379.7%
 
ValueCountFrequency (%) 
3540.1%
 
372< 0.1%
 
381< 0.1%
 
392< 0.1%
 
401< 0.1%
 
ValueCountFrequency (%) 
99940.1%
 
9981< 0.1%
 
9901< 0.1%
 
9521< 0.1%
 
9491< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5010 
1
 
2
ValueCountFrequency (%) 
05010> 99.9%
 
12< 0.1%
 
2020-10-28T22:01:30.520572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4853 
0
 
159
ValueCountFrequency (%) 
1485396.8%
 
01593.2%
 
2020-10-28T22:01:30.784422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4960 
1
 
52
ValueCountFrequency (%) 
0496099.0%
 
1521.0%
 
2020-10-28T22:01:30.981308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:31.161206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

papsyst
Real number (ℝ≥0)

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.22314592
Minimum15
Maximum125
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:31.592958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile26
Q140
median42.26595446
Q342.26595446
95-th percentile60
Maximum125
Range110
Interquartile range (IQR)2.265954456

Descriptive statistics

Standard deviation9.980038587
Coefficient of variation (CV)0.236364164
Kurtosis6.726591867
Mean42.22314592
Median Absolute Deviation (MAD)0
Skewness1.599911738
Sum211622.4074
Variance99.60117019
MonotocityNot monotonic
2020-10-28T22:01:32.162633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42.26595446251750.2%
 
302545.1%
 
402374.7%
 
352334.6%
 
501933.9%
 
451883.8%
 
251613.2%
 
551032.1%
 
601022.0%
 
38631.3%
 
Other values (65)96119.2%
 
ValueCountFrequency (%) 
152< 0.1%
 
162< 0.1%
 
172< 0.1%
 
1830.1%
 
1940.1%
 
ValueCountFrequency (%) 
1251< 0.1%
 
1201< 0.1%
 
1131< 0.1%
 
1101< 0.1%
 
1002< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4607 
0
 
405
ValueCountFrequency (%) 
1460791.9%
 
04058.1%
 
2020-10-28T22:01:32.549409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4225 
1
787 
ValueCountFrequency (%) 
0422584.3%
 
178715.7%
 
2020-10-28T22:01:32.732304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4773 
1
 
239
ValueCountFrequency (%) 
0477395.2%
 
12394.8%
 
2020-10-28T22:01:32.893211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4828 
1
 
184
ValueCountFrequency (%) 
0482896.3%
 
11843.7%
 
2020-10-28T22:01:33.031133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3528 
1
1484 
ValueCountFrequency (%) 
0352870.4%
 
1148429.6%
 
2020-10-28T22:01:33.180047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4915 
1
 
97
ValueCountFrequency (%) 
0491598.1%
 
1971.9%
 
2020-10-28T22:01:33.326963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

others_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4893 
0
 
119
ValueCountFrequency (%) 
1489397.6%
 
01192.4%
 
2020-10-28T22:01:34.234441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3808 
1
1204 
ValueCountFrequency (%) 
0380876.0%
 
1120424.0%
 
2020-10-28T22:01:34.340381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4973 
1
 
39
ValueCountFrequency (%) 
0497399.2%
 
1390.8%
 
2020-10-28T22:01:34.477302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4958 
1
 
54
ValueCountFrequency (%) 
0495898.9%
 
1541.1%
 
2020-10-28T22:01:34.598233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_a_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4619 
0
 
393
ValueCountFrequency (%) 
1461992.2%
 
03937.8%
 
2020-10-28T22:01:34.725161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4911 
1
 
101
ValueCountFrequency (%) 
0491198.0%
 
11012.0%
 
2020-10-28T22:01:34.851088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

height
Real number (ℝ≥0)

Distinct66
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.3246824
Minimum135
Maximum205
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:35.097948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum135
5-th percentile152
Q1162
median169
Q3175
95-th percentile183
Maximum205
Range70
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.488581661
Coefficient of variation (CV)0.05637070882
Kurtosis0.0250862694
Mean168.3246824
Median Absolute Deviation (MAD)6
Skewness-0.01712978894
Sum843643.3083
Variance90.03318193
MonotocityNot monotonic
2020-10-28T22:01:35.482726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1704398.8%
 
1603146.3%
 
1653036.0%
 
1752695.4%
 
1802374.7%
 
1722214.4%
 
1681893.8%
 
1731833.7%
 
1781723.4%
 
1691693.4%
 
Other values (56)251650.2%
 
ValueCountFrequency (%) 
1351< 0.1%
 
14090.2%
 
14140.1%
 
14240.1%
 
1432< 0.1%
 
ValueCountFrequency (%) 
20530.1%
 
2041< 0.1%
 
2021< 0.1%
 
2002< 0.1%
 
1991< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4752 
1
 
260
ValueCountFrequency (%) 
0475294.8%
 
12605.2%
 
2020-10-28T22:01:35.750573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4948 
1
 
64
ValueCountFrequency (%) 
0494898.7%
 
1641.3%
 
2020-10-28T22:01:35.861508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4963 
1
 
49
ValueCountFrequency (%) 
0496399.0%
 
1491.0%
 
2020-10-28T22:01:35.973446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4664 
1
 
348
ValueCountFrequency (%) 
0466493.1%
 
13486.9%
 
2020-10-28T22:01:36.072388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4975 
1
 
37
ValueCountFrequency (%) 
0497599.3%
 
1370.7%
 
2020-10-28T22:01:36.188320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4999 
1
 
13
ValueCountFrequency (%) 
0499999.7%
 
1130.3%
 
2020-10-28T22:01:36.348233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lvefisotopic
Real number (ℝ≥0)

Distinct72
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.20807186
Minimum14
Maximum91
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:36.642063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile55.26565144
Q155.26565144
median55.26565144
Q355.26565144
95-th percentile55.26565144
Maximum91
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.426141257
Coefficient of variation (CV)0.08017199492
Kurtosis29.80026304
Mean55.20807186
Median Absolute Deviation (MAD)0
Skewness-1.805032484
Sum276702.8562
Variance19.59072643
MonotocityNot monotonic
2020-10-28T22:01:37.157766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
55.26565144460791.9%
 
60240.5%
 
55220.4%
 
65170.3%
 
70150.3%
 
50150.3%
 
40140.3%
 
45130.3%
 
62120.2%
 
53110.2%
 
Other values (62)2625.2%
 
ValueCountFrequency (%) 
141< 0.1%
 
151< 0.1%
 
181< 0.1%
 
191< 0.1%
 
202< 0.1%
 
ValueCountFrequency (%) 
911< 0.1%
 
871< 0.1%
 
852< 0.1%
 
841< 0.1%
 
831< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4665 
1
 
347
ValueCountFrequency (%) 
0466593.1%
 
13476.9%
 
2020-10-28T22:01:37.427610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4585 
1
 
427
ValueCountFrequency (%) 
0458591.5%
 
14278.5%
 
2020-10-28T22:01:37.527553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4831 
1
 
181
ValueCountFrequency (%) 
0483196.4%
 
11813.6%
 
2020-10-28T22:01:37.641488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4998 
1
 
14
ValueCountFrequency (%) 
0499899.7%
 
1140.3%
 
2020-10-28T22:01:37.755422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4856 
0
 
156
ValueCountFrequency (%) 
1485696.9%
 
01563.1%
 
2020-10-28T22:01:37.856365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:37.960305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4743 
1
 
269
ValueCountFrequency (%) 
0474394.6%
 
12695.4%
 
2020-10-28T22:01:38.064245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3045 
1
1967 
ValueCountFrequency (%) 
0304560.8%
 
1196739.2%
 
2020-10-28T22:01:38.176182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4653 
1
 
359
ValueCountFrequency (%) 
0465392.8%
 
13597.2%
 
2020-10-28T22:01:38.286119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lv2_0
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4213 
0
799 
ValueCountFrequency (%) 
1421384.1%
 
079915.9%
 
2020-10-28T22:01:38.395056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lv1_1
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4914 
1
 
98
ValueCountFrequency (%) 
0491498.0%
 
1982.0%
 
2020-10-28T22:01:38.506994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4314 
1
698 
ValueCountFrequency (%) 
0431486.1%
 
169813.9%
 
2020-10-28T22:01:38.612930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4784 
0
 
228
ValueCountFrequency (%) 
1478495.5%
 
02284.5%
 
2020-10-28T22:01:38.715873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

mi_1
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3971 
1
1041 
ValueCountFrequency (%) 
0397179.2%
 
1104120.8%
 
2020-10-28T22:01:38.875787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4889 
1
 
123
ValueCountFrequency (%) 
0488997.5%
 
11232.5%
 
2020-10-28T22:01:39.056679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5002 
1
 
10
ValueCountFrequency (%) 
0500299.8%
 
1100.2%
 
2020-10-28T22:01:39.255567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

weight
Real number (ℝ≥0)

Distinct101
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.38550144
Minimum34
Maximum157
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:39.567383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile52
Q165
median75
Q385
95-th percentile102
Maximum157
Range123
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.07726967
Coefficient of variation (CV)0.2000022469
Kurtosis0.6168675446
Mean75.38550144
Median Absolute Deviation (MAD)10
Skewness0.4644523015
Sum377832.1332
Variance227.3240607
MonotocityNot monotonic
2020-10-28T22:01:40.021124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
802835.6%
 
702745.5%
 
752194.4%
 
601653.3%
 
651593.2%
 
851523.0%
 
681462.9%
 
721392.8%
 
781362.7%
 
901282.6%
 
Other values (91)321164.1%
 
ValueCountFrequency (%) 
341< 0.1%
 
352< 0.1%
 
362< 0.1%
 
381< 0.1%
 
392< 0.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1551< 0.1%
 
1401< 0.1%
 
1362< 0.1%
 
1331< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5010 
1
 
2
ValueCountFrequency (%) 
05010> 99.9%
 
12< 0.1%
 
2020-10-28T22:01:40.372924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4607 
1
 
405
ValueCountFrequency (%) 
0460791.9%
 
14058.1%
 
2020-10-28T22:01:40.575806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:40.711728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4980 
1
 
32
ValueCountFrequency (%) 
0498099.4%
 
1320.6%
 
2020-10-28T22:01:40.853648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_0
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4524 
0
488 
ValueCountFrequency (%) 
1452490.3%
 
04889.7%
 
2020-10-28T22:01:40.984570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:41.105501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4780 
1
 
232
ValueCountFrequency (%) 
0478095.4%
 
12324.6%
 
2020-10-28T22:01:41.207443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4403 
0
609 
ValueCountFrequency (%) 
1440387.8%
 
060912.2%
 
2020-10-28T22:01:41.313384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4944 
1
 
68
ValueCountFrequency (%) 
0494498.6%
 
1681.4%
 
2020-10-28T22:01:41.426316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5005 
1
 
7
ValueCountFrequency (%) 
0500599.9%
 
170.1%
 
2020-10-28T22:01:41.524260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5003 
1
 
9
ValueCountFrequency (%) 
0500399.8%
 
190.2%
 
2020-10-28T22:01:41.639194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4591 
0
 
421
ValueCountFrequency (%) 
1459191.6%
 
04218.4%
 
2020-10-28T22:01:41.775116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4990 
1
 
22
ValueCountFrequency (%) 
0499099.6%
 
1220.4%
 
2020-10-28T22:01:41.880057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

mitral_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3816 
0
1196 
ValueCountFrequency (%) 
1381676.1%
 
0119623.9%
 
2020-10-28T22:01:41.986996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4903 
1
 
109
ValueCountFrequency (%) 
0490397.8%
 
11092.2%
 
2020-10-28T22:01:42.100930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3231 
1
1781 
ValueCountFrequency (%) 
0323164.5%
 
1178135.5%
 
2020-10-28T22:01:42.201873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4161 
1
851 
ValueCountFrequency (%) 
0416183.0%
 
185117.0%
 
2020-10-28T22:01:42.307811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4871 
1
 
141
ValueCountFrequency (%) 
0487197.2%
 
11412.8%
 
2020-10-28T22:01:42.417748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4993 
1
 
19
ValueCountFrequency (%) 
0499399.6%
 
1190.4%
 
2020-10-28T22:01:42.536681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:42.655612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4778 
1
 
234
ValueCountFrequency (%) 
0477895.3%
 
12344.7%
 
2020-10-28T22:01:42.774543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

copd_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4559 
0
 
453
ValueCountFrequency (%) 
1455991.0%
 
04539.0%
 
2020-10-28T22:01:42.890478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4310 
1
702 
ValueCountFrequency (%) 
0431086.0%
 
170214.0%
 
2020-10-28T22:01:43.011411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3420 
1
1592 
ValueCountFrequency (%) 
0342068.2%
 
1159231.8%
 
2020-10-28T22:01:43.119345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-10-28T22:01:43.240279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4881 
1
 
131
ValueCountFrequency (%) 
0488197.4%
 
11312.6%
 
2020-10-28T22:01:43.369203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4872 
1
 
140
ValueCountFrequency (%) 
0487297.2%
 
11402.8%
 
2020-10-28T22:01:43.486136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4957 
1
 
55
ValueCountFrequency (%) 
0495798.9%
 
1551.1%
 
2020-10-28T22:01:43.622059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4989 
1
 
23
ValueCountFrequency (%) 
0498999.5%
 
1230.5%
 
2020-10-28T22:01:43.738994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3930 
1
1082 
ValueCountFrequency (%) 
0393078.4%
 
1108221.6%
 
2020-10-28T22:01:43.870914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4919 
1
 
93
ValueCountFrequency (%) 
0491998.1%
 
1931.9%
 
2020-10-28T22:01:43.991845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

urgency_0
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4733 
0
 
279
ValueCountFrequency (%) 
1473394.4%
 
02795.6%
 
2020-10-28T22:01:44.101783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2519 
1
2493 
ValueCountFrequency (%) 
0251950.3%
 
1249349.7%
 
2020-10-28T22:01:44.207721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4672 
1
 
340
ValueCountFrequency (%) 
0467293.2%
 
13406.8%
 
2020-10-28T22:01:44.307664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4956 
1
 
56
ValueCountFrequency (%) 
0495698.9%
 
1561.1%
 
2020-10-28T22:01:44.433595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

aa
Real number (ℝ≥0)

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.360335196
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:44.685448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median7
Q316
95-th percentile25
Maximum35
Range34
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.597698646
Coefficient of variation (CV)0.9185246539
Kurtosis-0.8309492788
Mean9.360335196
Median Absolute Deviation (MAD)6
Skewness0.6465426
Sum46914
Variance73.920422
MonotocityNot monotonic
2020-10-28T22:01:45.224142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
1174234.8%
 
41643.3%
 
171553.1%
 
81543.1%
 
121493.0%
 
101422.8%
 
91412.8%
 
181412.8%
 
151382.8%
 
51362.7%
 
Other values (24)195038.9%
 
ValueCountFrequency (%) 
1174234.8%
 
21272.5%
 
31342.7%
 
41643.3%
 
51362.7%
 
ValueCountFrequency (%) 
351< 0.1%
 
3330.1%
 
3280.2%
 
31130.3%
 
30180.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4430 
1
582 
ValueCountFrequency (%) 
0443088.4%
 
158211.6%
 
2020-10-28T22:01:45.598923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4992 
1
 
20
ValueCountFrequency (%) 
0499299.6%
 
1200.4%
 
2020-10-28T22:01:45.755834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4980 
1
 
32
ValueCountFrequency (%) 
0498099.4%
 
1320.6%
 
2020-10-28T22:01:45.945724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4983 
1
 
29
ValueCountFrequency (%) 
0498399.4%
 
1290.6%
 
2020-10-28T22:01:46.132621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4962 
1
 
50
ValueCountFrequency (%) 
0496299.0%
 
1501.0%
 
2020-10-28T22:01:46.334503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4998 
1
 
14
ValueCountFrequency (%) 
0499899.7%
 
1140.3%
 
2020-10-28T22:01:46.577364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4421 
0
591 
ValueCountFrequency (%) 
1442188.2%
 
059111.8%
 
2020-10-28T22:01:46.789241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

smoker_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2582 
1
2430 
ValueCountFrequency (%) 
0258251.5%
 
1243048.5%
 
2020-10-28T22:01:46.996123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4975 
1
 
37
ValueCountFrequency (%) 
0497599.3%
 
1370.7%
 
2020-10-28T22:01:47.176020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5009 
1
 
3
ValueCountFrequency (%) 
0500999.9%
 
130.1%
 
2020-10-28T22:01:47.335928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5008 
1
 
4
ValueCountFrequency (%) 
0500899.9%
 
140.1%
 
2020-10-28T22:01:47.497347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

agepat
Real number (ℝ≥0)

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.53232243
Minimum18
Maximum93
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-10-28T22:01:48.023043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile36
Q155
median65
Q374
95-th percentile83
Maximum93
Range75
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.09799614
Coefficient of variation (CV)0.2219027355
Kurtosis0.1757784335
Mean63.53232243
Median Absolute Deviation (MAD)10
Skewness-0.6622371374
Sum318424
Variance198.7534951
MonotocityNot monotonic
2020-10-28T22:01:48.584721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
621643.3%
 
751553.1%
 
661543.1%
 
701493.0%
 
681422.8%
 
761412.8%
 
671412.8%
 
731382.8%
 
631362.7%
 
591352.7%
 
Other values (65)355771.0%
 
ValueCountFrequency (%) 
1840.1%
 
1960.1%
 
2070.1%
 
2160.1%
 
22120.2%
 
ValueCountFrequency (%) 
931< 0.1%
 
9130.1%
 
9080.2%
 
89130.3%
 
88180.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4558 
1
 
454
ValueCountFrequency (%) 
0455890.9%
 
14549.1%
 
2020-10-28T22:01:49.046458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Interactions

2020-10-28T21:58:56.253857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:58:57.241381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:58:57.962968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:58:58.660567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:58:59.181268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:58:59.631010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:00.098744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:00.516503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:00.968245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:01.442976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:02.165558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:02.706247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:03.159987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:03.590738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:03.994510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:04.498221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:05.694744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:06.355361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:06.742142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:07.151907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:07.560674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:07.982429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:08.607072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:09.046817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:09.540534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:10.024261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:10.482994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:11.017688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:11.469429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:11.949153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:12.467855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:13.219562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:13.681297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:14.149030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:15.198427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:15.967987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:16.542658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:17.158910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:17.663621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:18.136349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:18.539122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:18.956879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:19.371641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:19.712445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:20.059246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:20.406047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:20.774837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:21.119638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:21.439455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:21.837227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:22.223007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:22.624775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:22.963581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:23.305383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:23.642192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:23.944018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:24.283823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:24.583651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:24.887477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:25.815945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:26.164746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:26.536534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:26.883332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:27.235129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:27.530960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:27.880761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:28.222566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:28.557372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:28.866195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:29.272961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:29.621761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:29.916593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:30.576959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:31.229588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:31.576385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:31.942173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:32.914616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:33.815663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:34.740837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:35.398460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:35.976656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:36.549835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:37.342626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:38.687488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:39.227181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:39.666927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:40.176635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:41.224333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:41.820991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:42.348688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:42.716131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:43.110905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:43.524668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:44.236831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:44.636117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:45.001905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:45.362699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:45.799447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:46.373119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:46.764895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:47.077717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:47.406528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:47.704355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:48.026171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:48.347987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:48.670801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:49.025599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:49.329427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:49.629252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:49.981051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:50.361832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:50.675652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:51.284302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:51.859973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:52.409792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:52.728610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:53.228893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:55.791753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:56.396250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:56.907955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:57.386680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:57.937365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:58.364123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:58.788877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:59.191647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T21:59:59.687361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:00.089129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:00.830718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:02.068619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:02.619307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:03.106026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:03.740713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:04.764126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:06.203212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:08.001722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:08.683328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:09.245006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:09.798693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:10.359720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:10.795470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:11.235228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:11.573027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:12.103721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:12.414543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-28T22:01:50.234774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-28T22:02:02.584691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-28T22:02:17.999423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-28T22:02:31.581406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-10-28T22:00:15.923483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-28T22:00:55.300371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

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